AI marketing agents automate campaign planning, content creation, ad optimization, and reporting grounded in your brand guidelines and performance history. Built for marketing teams drowning in production work, they draft on-brand copy, manage spend within defined caps, and assemble cross-channel reports — with human approval before anything customer-facing publishes.
Marketing operations that run themselves, within limits you set
Content Generation & Brand Voice
Agents trained on your style guide and highest-performing past content, drafting blog posts, social copy and ad variants that sound like your brand wrote them — with a human review gate before anything publishes.
Campaign Planning & Briefing
Agents that turn a campaign goal into a full brief — audience, channels, messaging angles, asset list and timeline — pulling from what has actually worked in your past campaigns rather than a generic template.
Ad Spend Optimization
Budget reallocation across campaigns and creatives based on live performance, operating inside hard spend caps and approval thresholds you define — the agent optimises, it does not get a blank cheque.
SEO & Organic Content Agents
Agents that research a topic against real search intent, draft content grounded in verifiable facts, and flag their own claims that need a source — built to avoid the generic-AI-content problem that increasingly hurts rather than helps rankings.
Social & Community Monitoring
Brand mentions, sentiment shifts and emerging complaints surfaced in near real time, with draft responses prepared for review rather than an agent replying to your customers unsupervised.
Attribution & Reporting Agents
Agents that assemble the cross-channel performance report your team currently builds by hand every Monday — with the underlying data attached so the numbers can be checked, not just trusted.
From brand guidelines to a trusted agent
Brand & Performance Grounding
We ingest your style guide, messaging pillars and the content and campaigns that have actually performed, because a marketing agent without this context produces generic output indistinguishable from every competitor using the same base model.
Guardrail Definition
Spend caps, approval thresholds, prohibited claims and topics, and brand-safety rules defined explicitly and enforced at the tool layer — not left to the model's judgement on a bad day.
Draft-Only Pilot
The agent produces content and campaign recommendations for your marketers to approve or edit, and every edit becomes signal for what "on-brand" actually means beyond what the style guide says.
Selective Autonomy
Low-risk, high-volume work — performance reporting, internal briefs, first-draft social replies — goes autonomous first. Anything customer-facing or spend-related keeps a human approval gate, and you decide how long that stays permanent.
Measure Against Outcomes
Engagement, conversion and CAC — not word count or posting frequency. An agent that publishes constantly but moves no metric has not helped your marketing team, it has just added noise for them to review.
AI Marketing Agents
FAQ.
Common questions about AI marketing agents — how they differ from sales agents, brand voice, cost, ad spend safety and factual accuracy.
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